Artificial intelligence for business : innovation, tools and practices
Editor: Landeta Echeberria, AnaPublication details: Cham Springer 2022Description: 196pISBN: 9783030882402Subject(s): New business enterprises | Artificial intelligence | Business - Data processingDDC classification: 658.4062 Summary: This book provides an overview of Artificial Intelligence (AI) and its application in the global business context today and in the near future. It examines AI’s development and application across a number of business contexts, drawing on academic theory and real-world case studies. The book outlines international practices for the promotion of reliable AI systems, trends, research and development, fostering a digital ecosystem for AI, and preparing companies for job transformation and building skills. It will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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IIMJ Library General Stacks | Non-fiction | 658.4062 ART (Browse shelf (Opens below)) | Available | 7005 |
Table of contents:
Introduction
Chapter 1 The Foundations of AI, David Lizcano Casas and Juan Pazos Sierra
Chapter 2 AI: Methods and Techniques. Knowledge-Based Systems, David Lizcano Casas and Juan Pazos Sierra
Chapter 3 The Impact of AI on Business, Economics and Innovation, Ana Landeta Echeberria
Chapter 4 AI Implications for the Future of Work, Maria Aranzazu de las Heras Garcia
Chapter 5 AI Integration in the Digital Transformation Strategy, Ana Landeta Echeberria
Chapter 6 Case Studies of Real AI Applications, Jose Antonio Alvarez Lopez
Chapter 7 Technological Singularity and Ethical Issues of AI, David Lizcano Casas and Juan Pazos Sierra
Conclusion.
This book provides an overview of Artificial Intelligence (AI) and its application in the global business context today and in the near future. It examines AI’s development and application across a number of business contexts, drawing on academic theory and real-world case studies. The book outlines international practices for the promotion of reliable AI systems, trends, research and development, fostering a digital ecosystem for AI, and preparing companies for job transformation and building skills. It will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.
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